Abstract
The paper describes a technique for image segmentation based on binary thresholding and the hardware implementation of the segmentation circuit. The technique applies a fuzzy logic strategy to calculate the threshold. The hardware design methodology is based on a high level behavioral description of the fuzzy system. The knowledge base is described using the standard hardware description language VHDL. The hardware design criterion is the low cost and, in special way, a high processing speed.
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Barriga, A., Hussein, N.M. (2008). A Fuzzy Thresholding Circuit for Image Segmentation. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85563-7_55
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DOI: https://doi.org/10.1007/978-3-540-85563-7_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85562-0
Online ISBN: 978-3-540-85563-7
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